Can Hyperparameter Tuning Improve the Performance of a Super Learner?

Background: Super learning is an ensemble machine learning approach used increasingly as an alternative to classical prediction techniques. When implementing super learning, however, not tuning the hyperparameters of the algorithms in it may adversely affect the performance of the super learner. Methods: In this case study, we used data from a Canadian electronic prescribing system to predict when primary care physicians prescribed...